Che‐Ho Wei

946 citations
39 papers · 653 · h-index 8

Impact in

Papers in

Che‐Ho Wei

34 papers receiving 593 citations

Peers

Che‐Ho Wei
Comparison fields: 5 of 27
  • Computer Networks and Communications 424
  • Electrical and Electronic Engineering 584
  • Signal Processing 82
  • Computational Mechanics 64
  • Artificial Intelligence 81
Replace Mario Tanda with:
Mario Tanda Italy
Ching-Kae Tzou United States
P. Monsen United States
A. Lampe Germany
K. Hirade Japan
K. Murota Japan
Luc Deneire France
A.G. Orozco-Lugo Mexico
G.E. Bottomley United States
Dimitrios Katselis Sweden
Che‐Ho Wei relative to Mario Tanda Italy Mario Tanda's profile →
Citations per field
00.5×1.6×
Mario Tanda · 1×
Citations per year

Countries citing papers authored by Che‐Ho Wei

Since Specialization
Citations

This map shows the geographic impact of Che‐Ho Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Che‐Ho Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che‐Ho Wei more than expected).

Fields of papers citing papers by Che‐Ho Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che‐Ho Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Che‐Ho Wei. The network helps show where Che‐Ho Wei may publish in the future.

Co-authors

The 7 scholars most cited alongside Che‐Ho Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Che‐Ho Wei Line = papers co-authored together Che‐Ho Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998406
2 1999107
3 199124
4 19879
5 19959
6 20028
7 20028
8 19957
9 20026
10 19875
11 19925
12 20015
13 20025
14 19805
15 20025
16 19864
17 20024
18 19864
19 19954
20 20053

About Che‐Ho Wei

Che‐Ho Wei is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 39 papers that have together received 653 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (18 papers), Advanced Wireless Communication Techniques (17 papers), Advanced Adaptive Filtering Techniques (11 papers), Blind Source Separation Techniques (8 papers), PAPR reduction in OFDM (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Power Line Communications and Noise (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (424 citations), Electrical and Electronic Engineering (584 citations), Signal Processing (82 citations), Computational Mechanics (64 citations) and Artificial Intelligence (81 citations). Che‐Ho Wei has collaborated with scholars based in Taiwan and China. Frequent co-authors include Meng-Han Hsieh, Chung‐Ju Chang, Wenjiang Chen, Yih-Fang Huang, S. Siu, Chin-Liang Wang and Sin‐Horng Chen. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Electronics Letters, International Journal of Systems Science, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Consumer Electronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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